static async Task RunTimelinePostprocessor(LogSourcePostprocessorInput input)
{
string outputFileName = input.OutputFileName;
var logProducer = LJT.Extensions.Read(new LJT.Reader(), input.LogFileName,
null, input.ProgressHandler).Multiplex();
var profilingEvents = (new LJT.ProfilingTimelineEventsSource()).GetEvents(logProducer);
var lister = EnumerableAsync.Merge(
profilingEvents
).ToList();
Task[] leafs = new Task[]
{
lister,
logProducer.Open(),
};
await Task.WhenAll(leafs);
TimelinePostprocessorOutput.SerializePostprocessorOutput(
await lister,
null,
evtTrigger => TextLogEventTrigger.Make((LJT.Message)evtTrigger),
input.InputContentsEtagAttr
).SaveToFileOrToStdOut(outputFileName);
}
public static LogSourcePostprocessorInput AttachProgressHandler(this LogSourcePostprocessorInput input,
Progress.IProgressAggregator progressAggregator, List <Progress.IProgressEventsSink> progressSinks)
{
var progressSink = progressAggregator.CreateProgressSink();
progressSinks.Add(progressSink);
input.ProgressHandler += progressSink.SetValue;
input.ProgressAggregator = progressAggregator;
return(input);
}
static async Task RunTimelinePostprocessor(
LogSourcePostprocessorInput input, IModel postprocessingModel)
{
var logProducer = LJT.Extensions.Read(new LJT.Reader(postprocessingModel.TextLogParser), input.OpenLogFile,
input.ProgressHandler).Multiplex();
var profilingEvents = (new LJT.ProfilingTimelineEventsSource()).GetEvents(logProducer);
var lister = EnumerableAsync.Merge(
profilingEvents
);
var serialize = postprocessingModel.Timeline.CreatePostprocessorOutputBuilder()
.SetEvents(lister)
.SetTriggersConverter(evtTrigger => TextLogEventTrigger.Make((LJT.Message)evtTrigger))
.Build(input);
await Task.WhenAll(serialize, logProducer.Open());
}
static async Task RunTimeSeriesPostprocessor(
LogSourcePostprocessorInput input,
IModel postprocessingModel
)
{
var logProducer = LJT.Extensions.Read(new LJT.Reader(postprocessingModel.TextLogParser), input.OpenLogFile,
input.ProgressHandler).Multiplex();
ICombinedParser parser = postprocessingModel.TimeSeries.CreateParser();
var events = parser.FeedLogMessages(logProducer, m => m.Text, m => m.Text);
await Task.WhenAll(events, logProducer.Open());
foreach (var ts in parser.GetParsedTimeSeries())
{
ts.DataPoints = TimeSeries.Filters.RemoveRepeatedValues.Filter(ts.DataPoints).ToList();
}
await postprocessingModel.TimeSeries.SavePostprocessorOutput(parser, input);
}
static async Task RunTimelinePostprocessor(
LogSourcePostprocessorInput input, IModel postprocessingModel)
{
string outputFileName = input.OutputFileName;
var logProducer = LJT.Extensions.Read(new LJT.Reader(postprocessingModel.TextLogParser), input.LogFileName,
input.ProgressHandler).Multiplex();
var profilingEvents = (new LJT.ProfilingTimelineEventsSource()).GetEvents(logProducer);
var lister = EnumerableAsync.Merge(
profilingEvents
);
var serialize = postprocessingModel.Timeline.SavePostprocessorOutput(
lister,
null,
evtTrigger => TextLogEventTrigger.Make((LJT.Message)evtTrigger),
input
);
await Task.WhenAll(serialize, logProducer.Open());
}
public static LogSourcePostprocessorInput SetTemplatesTracker(this LogSourcePostprocessorInput input,
ICodepathTracker value)
{
input.TemplatesTracker = value;
return(input);
}
public static string GetLogFileNameHint(this LogSourcePostprocessorInput input)
{
return(GetLogFileNameHint(input.LogSource.Provider));
}
